Comparer des méthodes

	Analyse de scénarios politiques	Dynamique des systèmes
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1967–1990s	1961
Auteur d'origine	Kahn, H. & Wiener, A. J. (seminal); adapted for policy by RAND Corporation and OECD	Jay W. Forrester
Type	Qualitative-quantitative hybrid scenario method	Continuous simulation / feedback modelling
Source fondatrice	Swart, R., Raskin, P., Robinson, J. (2004). The problem of the future: sustainability science and scenario analysis. Global Environmental Change, 14(2), 137–146.	Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159
Alias	PSA, Policy Scenarios, Policy Impact Scenario Analysis, Counterfactual Policy Analysis	stock-flow modelling, Sistem Dinamiği (Stock-Flow Modelleme), SD modelling, feedback simulation
Apparentées	5	3
Résumé	Policy Scenario Analysis is a structured method for evaluating how different policy interventions perform across a range of plausible future states. By pairing specific policy levers with alternative scenarios, analysts can assess robustness, trade-offs, and unintended consequences of policy choices before implementation — making it a cornerstone of evidence-based policy design in fields from climate to public health.	System dynamics is a continuous simulation method, developed by Jay W. Forrester at MIT in 1961, that represents a complex system through stocks (accumulations), flows (rates of change), and feedback loops. By expressing these relationships as coupled ordinary differential equations, it reproduces how policies, delays, and nonlinear feedbacks drive system behaviour over time — making it a cornerstone tool in policy analysis, organisational modelling, and sustainability research.